Operations | Monitoring | ITSM | DevOps | Cloud

We’ve been celebrating a few big milestones 🎉 at incident.io in the last few months. We were recently discussing product metrics (as you do for fun on a Friday afternoon 🤓) , and Lawrence was very surprised with a particular stat around the number of workflows that have been run using incident.io.

At incident.io, we’re building tools to help people respond to incidents, often by automating their organisations’ process. Much of this is powered by our Workflows product, which customers can use to achieve things like: Workflows as a product feature are incredibly powerful, and we’re proud of the value they provide to our customers. Behind-the-scenes, though, building something like workflows can be difficult.

This is the second in a two part series on how we built our workflow engine, and continues from Building workflows (part 1). Having covered core workflow concepts and a deep-dive into the Workflow Builder in part one, this post describes the workflow executor, and concludes the series with an evaluation of the project against our goals.

Not many companies will tell you why you shouldn’t use their product, but any product that tries to be everything to everyone is doomed to failure. When you build without a specific user in mind, your target becomes the intersection of many viewpoints, and what you build is the lowest common denominator. What usually follows is software that can technically do everything, but feels unfocused, complex, and unpleasant to use. Something everyone is equally unhappy with.

We've all done it: "that'll be simple, I'll just write a quick script and..." In the case of calculating on-call pay, we really have done it before: our team have built the on-call pay scripts for several companies, and each attempt was a painful, error prone process. While we believe everyone on-call should be paid for their inconvenience, relying on someones side-project or back-of-napkin maths to calculate pay leads to mistakes, frustration, and wasted time.

We get it – incidents happen. What differentiates resilient teams from others is how they learn from them: using them as an opportunity to find the biggest improvements in how they work. Incident timelines are one of the most simple and effective tools available to you when it comes to learning from an incident. It’s vital that you ensure they’re accurate and useful, in order to make the biggest improvements after an incident.

I joined GoCardless as a junior engineer. It was one of my first coding jobs, and in my time there I progressed to senior much faster than I had expected. When I reflect on how this happened, one pattern stands out to me; the big step changes in my understanding, and my ability to solve larger and more complex engineering problems, came as a result of incidents.

Customer trust and satisfaction are the most important currency your business can own. No matter how brilliant your product, without happy customers your business will struggle. When everything is running smoothly, it’s easy to feel that heady dose of customer love. It’s when things break during an incident that these relationships are really put to the test.

At incident.io, we empower teams to run incidents quickly and effectively from start to finish. One of the ways we help is by taking the manual admin out of your incidents. More often than not, folks are spending too much time thinking about the process, when the time would be better spent focusing on fixing. Our automated workflows, nudges and prompts help to embed best practices and unlock time for more impactful work.